Simultaneous Hernia Repair Following Robotic-assisted Radical Prostatectomy is Safe With Low Rates of Mesh-related Complications - Beyond the Abstract

Our study provides valuable insights into the safety and efficacy of concomitant hernia repair with mesh during robotic-assisted radical prostatectomy (RARP) and its correlation with mesh-related complications. We presented one of the largest cohorts in the literature in a high-volume center with robotic surgery expertise. The article also provides a detailed description of the techniques used for hernia repair and the types of mesh used, which may be helpful for other surgeons and researchers in this field.

The debate over performing simultaneous hernia repair with mesh placement during RARP has raised concerns about potential complications. The main argument presented has been the risk of postoperative infection caused by urine contact with polypropylene mesh. Our study investigates the safety and efficacy of concomitant hernia repair with mesh during RARP and its correlation with mesh-related complications. None of the patients had mesh-related complications.

We also provided a detailed description of the patient demography and methodology, including the matching criteria for both groups. The study's primary endpoint was to evaluate mesh infections and complications related to the mesh within 90 days after surgery. We found no significant differences between the groups. However, the study has limitations, such as the retrospective design and the head surgeon's (V.P) experience, which could impact the result reproduction in smaller centers. However, as previously mentioned, this is one of the largest cohorts in the literature, and we believe that concomitant hernia repair with mesh placement benefits patients undergoing RARP by avoiding another hospitalization, surgical procedure, and exposure to anesthesia.

Written by: Abdel Rahman Jaber, Marcio Covas Moschovas, Travis Rogers, Shady Saikali, Roshane Perera, D Grant Loy, Marco Sandri, Shannon Roof, Keila Diaz, Carlos Ortiz, Vipul Patel

AdventHealth Global Robotics Institute, Orlando, FL, USA., University of Florida, Gainesville, USA., Big and Open Data Innovation Laboratory (BODaI-Lab) and Data Methods and Systems Statistical, Milan, Italy.

Read the Abstract